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PI3Kγ Drives Priming and Survival of Autoreactive CD4+ T Cells during Experimental Autoimmune Encephalomyelitis

Overview of attention for article published in PLOS ONE, September 2012
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Title
PI3Kγ Drives Priming and Survival of Autoreactive CD4+ T Cells during Experimental Autoimmune Encephalomyelitis
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0045095
Pubmed ID
Authors

Iain Comerford, Wendel Litchfield, Ervin Kara, Shaun R. McColl

Abstract

The class IB phosphoinositide 3-kinase gamma enzyme complex (PI3Kγ) functions in multiple signaling pathways involved in leukocyte activation and migration, making it an attractive target in complex human inflammatory diseases including MS. Here, using pik3cg(-/-) mice and a selective PI3Kγ inhibitor, we show that PI3Kγ promotes development of experimental autoimmune encephalomyelitis (EAE). In pik3cg(-/-) mice, EAE is markedly suppressed and fewer leukocytes including CD4(+) and CD8(+) T cells, granulocytes and mononuclear phagocytes infiltrate the CNS. CD4(+) T cell priming in secondary lymphoid organs is reduced in pik3cg(-/-) mice following immunisation. This is attributable to defects in DC migration concomitant with a failure of full T cell activation following TCR ligation in the absence of p110γ. Together, this results in suppressed autoreactive T cell responses in pik3cg(-/-) mice, with more CD4(+) T cells undergoing apoptosis and fewer cytokine-producing Th1 and Th17 cells in lymphoid organs and the CNS. When administered from onset of EAE, the orally active PI3Kγ inhibitor AS605240 caused inhibition and reversal of clinical disease, and demyelination and cellular pathology in the CNS was reduced. These results strongly suggest that inhibitors of PI3Kγ may be useful therapeutics for MS.

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Geographical breakdown

Country Count As %
Japan 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 43%
Student > Ph. D. Student 7 19%
Student > Bachelor 3 8%
Professor > Associate Professor 2 5%
Student > Master 2 5%
Other 4 11%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 12 32%
Agricultural and Biological Sciences 7 19%
Immunology and Microbiology 6 16%
Biochemistry, Genetics and Molecular Biology 4 11%
Chemistry 2 5%
Other 3 8%
Unknown 3 8%